Systems Thinking
Designing around root causes, not surface symptoms.
Fractional CTO · Enterprise AI Architect
Anyone can build with AI. Fewer can make it trustworthy.
I'm Siva NV — Fractional CTO & Enterprise AI Architect. 15 years building the systems businesses run on; now helping Indian and global enterprises adopt AI that's private, compliant, and truly theirs.
Available for fractional & advisory engagements
whoami → Siva NV (Siva Narayana V), Fractional CTO & Enterprise AI Architect. Co-Founder & CTO of Miatz, Fractional CTO at Demystify Systems, Co-Founder of SaaStify, ex-Director of Engineering at Unbxd (Netcore). 15 years building the systems businesses run on — now helping enterprises adopt privacy-first, compliant AI.
~/ the thesis
In an age where anyone can build with AI, the scarce skill is judgement.
Knowing when to trust AI, how to test what it builds, and how to make it safe, compliant, and enterprise-ready — that's the work that separates a demo from a system a business can run on.
India leads the world on AI adoption but trails on governance. Data privacy tops the risk list; DPDP penalties reach ₹250 crore. Trust isn't a slogan here — it's an architecture decision you make up front: residency, access, audit, judgement.
I've spent 15 years building the systems businesses run on. Now I help enterprises adopt AI they can actually trust — privacy-first, compliant, and theirs.
~/ core pillars
How I think about building.
Builder Mentality
Shipping, testing, breaking, refining — repeat.
Commerce Infrastructure
Products and operations that actually support growth.
Automation as Leverage
Removing repetitive work and human bottlenecks.
Applied AI
Intelligence that accelerates execution, not noise.
Long-Horizon Compounding
Assets and workflows that keep improving over time.
~/ domain depth
Domains I advise and consult across.
Advisory range, not job titles — hands-on experience in the industries where systems (and their compliance obligations) actually get tested.
E-commerce
Product data, order flows, warehouse logic, and the operational layer behind scale.
Adtech
Programmatic advertising, audience, and campaign systems on high-throughput pipelines.
Telecom
Systems and integrations operating at carrier scale and reliability.
IoT & Connected Devices
Device fleets, firmware-adjacent tooling, and the software that drives hardware.
Digital Distribution
Content, catalog, and distribution pipelines across channels.
Telematics & Fleet
Driver and vehicle data handled as the regulated personal data it is — GDPR/DPDP-aware by design.
Job & Work-Order Systems
Field-service records, audit trails, chain-of-custody, and role-based access.
CPaaS & Regulated Messaging
Communications platforms handling regulated data — including PHI under HIPAA business-associate obligations.
~/ the multiplier
Range, compounded by AI.
15 years across industries, the full technical stack, and every hat from engineer to CTO — that's the foundation. AI is the multiplier. Together they turn hard, ambiguous, real-world problems into systems that ship.
Industry expertise
E-commerce, adtech, telecom, IoT & devices, digital distribution — shipped in each.
Technical expertise
Frontend to ML, PaaS to Kubernetes — built and led across the whole stack.
Every hat
Engineer, architect, PM, leader — whatever the problem actually needs.
× AI as the force multiplier
=
Real-world problems, solved — in commerce, AI, adtech, devices, and any domain that's next.
~/ ways to work together
From technical strategy to systems that ship.
01 ↗
Fractional CTO
Ongoing technical leadership — architecture, technical direction, hiring, and building and mentoring engineering teams — without a full-time hire.
02 ↗
Enterprise AI Adoption
Privacy-first, ROI-focused AI in real products and workflows — private-cloud VPC, on-prem, or fully air-gapped LLMs, agents, and the hands-on delivery to ship it.
03 ↗
0→1 Product Incubation
Taking ambitious ideas to functional, scalable products — architecture, core build, and the integrations that hold up under pressure.
04 ↗
Migration, Modernization & Advisory
Data migration and system modernization across sectors — telematics, contact-center/CX, fintech — plus architecture reviews and diligence when you need a clear read on what's real.
15 years operating experience, since 2011
8 years scaling a PIM into an AI-powered PaaS
2→60 FPS — Cisco EPG performance, on optimized Chromium
3 ventures founded / led
~/ selected work
What I'm building.
commerce · co-founder
SaaStify OS
An end-to-end, AI-ready ecommerce OS — PIM, WMS, OMS, 3PL, support, chatbot — architected and built from the ground up in about a year.
read more → PIM · PaaSUnbxd PIM → Pepper-X
A new vertical built from zero and scaled over 8 years into an AI-powered PaaS — ML attribute mapping, K8s/Argo, deep marketplace integrations.
read more → devices · performanceCisco — EPG at 60 FPS
Took a set-top-box program guide from 2 FPS to 60 FPS on an optimized Chromium build — performance where it wasn't supposed to be possible.
read more → adtech · AIInMobi — AMP & Location Insights
Adtech audience marketplace and geospatial analytics — location data at ad-scale.
read more →~/ ventures
Conviction, shipped.
co-founder & CTO
Miatz — A School of Engineering Judgement
In the AI era, the durable skill is judgement — when to trust AI, how to test what it builds, how to orchestrate what it can't. We demystify the craft. You leave with miatz.
explore → fractional CTODemystify Systems — India-First, Privacy-First AI
Your data, your ecosystem, your AI. Forward-deployed engineers bringing AI adoption into Indian enterprises — including air-gapped LLMs and agentic harnesses.
explore →~/ writing
Notes on trustworthy AI, judgement, and systems.
Field notes from the work — privacy-first architecture, enterprise AI adoption, and the craft of shipping.